DAVID : An open-source platform for real-time transformation of infra-segmental emotional cues in running speech
(2018) In Behavior Research Methods 50(1). p.323-343- Abstract
We present an open-source software platform that transforms emotional cues expressed by speech signals using audio effects like pitch shifting, inflection, vibrato, and filtering. The emotional transformations can be applied to any audio file, but can also run in real time, using live input from a microphone, with less than 20-ms latency. We anticipate that this tool will be useful for the study of emotions in psychology and neuroscience, because it enables a high level of control over the acoustical and emotional content of experimental stimuli in a variety of laboratory situations, including real-time social situations. We present here results of a series of validation experiments aiming to position the tool against several... (More)
We present an open-source software platform that transforms emotional cues expressed by speech signals using audio effects like pitch shifting, inflection, vibrato, and filtering. The emotional transformations can be applied to any audio file, but can also run in real time, using live input from a microphone, with less than 20-ms latency. We anticipate that this tool will be useful for the study of emotions in psychology and neuroscience, because it enables a high level of control over the acoustical and emotional content of experimental stimuli in a variety of laboratory situations, including real-time social situations. We present here results of a series of validation experiments aiming to position the tool against several methodological requirements: that transformed emotions be recognized at above-chance levels, valid in several languages (French, English, Swedish, and Japanese) and with a naturalness comparable to natural speech.
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- author
- Rachman, Laura ; Liuni, Marco ; Arias, Pablo ; Lind, Andreas LU ; Johansson, Petter LU ; Hall, Lars LU ; Richardson, Daniel C. ; Watanabe, Katsumi ; Dubal, Stéphanie and Aucouturier, Jean-Julien
- organization
- publishing date
- 2018-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Emotional transformations, Infra-segmental cues, Nonverbal behavior, Real-time, Software, Voice
- in
- Behavior Research Methods
- volume
- 50
- issue
- 1
- pages
- 323 - 343
- publisher
- Springer
- external identifiers
-
- scopus:85016981246
- pmid:28374144
- ISSN
- 1554-3528
- DOI
- 10.3758/s13428-017-0873-y
- language
- English
- LU publication?
- yes
- id
- 0af41daa-d9db-481f-b10f-0a6c41dc5736
- date added to LUP
- 2017-05-02 08:57:49
- date last changed
- 2024-09-01 23:10:40
@article{0af41daa-d9db-481f-b10f-0a6c41dc5736, abstract = {{<p>We present an open-source software platform that transforms emotional cues expressed by speech signals using audio effects like pitch shifting, inflection, vibrato, and filtering. The emotional transformations can be applied to any audio file, but can also run in real time, using live input from a microphone, with less than 20-ms latency. We anticipate that this tool will be useful for the study of emotions in psychology and neuroscience, because it enables a high level of control over the acoustical and emotional content of experimental stimuli in a variety of laboratory situations, including real-time social situations. We present here results of a series of validation experiments aiming to position the tool against several methodological requirements: that transformed emotions be recognized at above-chance levels, valid in several languages (French, English, Swedish, and Japanese) and with a naturalness comparable to natural speech.</p>}}, author = {{Rachman, Laura and Liuni, Marco and Arias, Pablo and Lind, Andreas and Johansson, Petter and Hall, Lars and Richardson, Daniel C. and Watanabe, Katsumi and Dubal, Stéphanie and Aucouturier, Jean-Julien}}, issn = {{1554-3528}}, keywords = {{Emotional transformations; Infra-segmental cues; Nonverbal behavior; Real-time; Software; Voice}}, language = {{eng}}, number = {{1}}, pages = {{323--343}}, publisher = {{Springer}}, series = {{Behavior Research Methods}}, title = {{DAVID : An open-source platform for real-time transformation of infra-segmental emotional cues in running speech}}, url = {{http://dx.doi.org/10.3758/s13428-017-0873-y}}, doi = {{10.3758/s13428-017-0873-y}}, volume = {{50}}, year = {{2018}}, }